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Self Assessment

Community
Dragoon0x
self-assessment

Diagnose your taste gaps across six skill areas. Know what to practice. Use when starting a taste development program, checking progress, or identifying specific areas to improve.

Overview

PublisherDragoon0x
Repositorytaste-skills
Skill nameself-assessment
Stars
6
Forks
3
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Dragoon0x on GitHub. Read the source before you install it.

Installation

Install the Self Assessment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Dragoon0x/taste-skills/tree/main/skills/evaluation/self-assessment
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Dragoon0x/taste-skills.git /tmp/taste-skills
mkdir -p .claude/skills
cp -r /tmp/taste-skills/skills/evaluation/self-assessment .claude/skills/self-assessment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Self Assessment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Self Assessment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Self Assessment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Self-Assessment

Know your gaps. Practice the right thing.

How to use

  • /self-assessment Generate a taste self-assessment for the user.

Constraints

Six Skill Areas

Rate 1-5 on each:

  • Seeing: Can you spot spacing inconsistencies, hierarchy issues, and craft details without being told?
  • Comparing: Can you rank solutions and explain the ranking beyond personal preference?
  • Deconstructing: Can you reverse-engineer the constraints and decisions behind a design?
  • Collecting: Do you have an organized, principle-tagged reference library you can search in 60 seconds?
  • Articulating: Can you explain design decisions without saying "it feels right"?
  • Applying: Does your first design instinct usually turn out to be correct?

Interpreting Results

  • Lowest score = where to focus. Don't improve everything at once.
  • High Seeing + Low Articulating = good instincts, can't convince anyone. Focus on vocabulary.
  • High Collecting + Low Applying = great references, own work doesn't match. Focus on deconstruction.
  • Even scores across the board (all 2s or 3s) = the plateau. Go deep in any one area.
  • MUST retake every 3 months. Taste develops too slowly to notice daily.

Anti-Patterns

  • Overrating yourself on every dimension
  • Skipping the assessment and jumping straight to exercises
  • Focusing only on strengths instead of weaknesses

Frequently asked questions

What does the Self Assessment AI skill do?

Diagnose your taste gaps across six skill areas. Know what to practice. Use when starting a taste development program, checking progress, or identifying specific areas to improve.

Why use Self Assessment on TypingMind?

Because you install it once and use it with any model. Self Assessment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Self Assessment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dragoon0x/taste-skills/tree/main/skills/evaluation/self-assessment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Self Assessment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Self Assessment?

As many as you like. As long as a model supports skills, you can use Self Assessment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Self Assessment AI skill free?

Yes. It is published on GitHub by Dragoon0x under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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